Research on Spectrum Intelligent Monitoring Application Microservice Architecture Based on Docker

Abstract

The spectrum intelligent monitoring technology based on deep learning can reduce the artificial interference factors of spectrum monitoring and significantly improve the real-time performance and accuracy of spectrum monitoring. However, due to the complex operating environment of deep learning algorithms and the variety of deep learning frameworks, the deployment and transplantation of spectrum monitoring applications are more difficult. This paper proposes a docker-based spectrum intelligent monitoring application microservice architecture, which is mainly divided into spectrum monitoring resource layer, spectrum monitoring resource service layer and spectrum monitoring resource service layer. Docker is used to encapsulate the spectrum monitoring algorithm based on deep learning, and Kubernetes is used for unified arrangement and deployment, which simplifies the deployment and migration of the spectrum monitoring algorithm and improves the efficiency of spectrum monitoring.